Search Experience Optimization

Search Experience Optimization is a user experience optimization method that specifically enhances the effectiveness, efficiency, and satisfaction of users interacting with search systems through the systematic refinement of query interpretation, result relevance, and interface responsiveness.

15

Publications

743

Citations

47

Authors

21

Institutions

Publications per year

2017–2026

5

Authors

47

  1. WY
    Wen-Yun Yang

    University of California, Los Angeles, United States

    1 publications · 60 citations

    1

    h-index

  2. NJ
    Navendu Jain

    Microsoft (United States), United States

    1 publications · 39 citations

    1

    h-index

  3. FM
    Felipe Moraes

    Delft University of Technology, Netherlands

    1 publications · 29 citations

    1

    h-index

  4. AE
    Adele E. Howe

    Colorado State University, United States

    1 publications · 196 citations

    1

    h-index

  5. AP
    Allison P. Heath

    University of Chicago, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 47

Venues

  1. ACM Transactions on Information Systems

    2 publications · 235 citations

    2

    h-index

  2. IEEE Transactions on Evolutionary Computation

    1 publications · 40 citations

    1

    h-index

  3. Journal of Web Librarianship

    JWL · 1 publications · 13 citations

    1

    h-index

  4. Annals of Operations Research

    1 publications · 50 citations

    1

    h-index

  5. Malaysian Journal of Computer Science

    1 publications · 11 citations

    1

    h-index

1–5